{"id":"W2373287969","doi":"","title":"Analysis Credit Accumulation and Transfer System of Higher Education in Canada","year":2015,"lang":"en","type":"article","venue":"Waiguo jiaoyu yanjiu","topic":"Education Systems and Policy","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diversification (marketing strategy); Certification; Higher education; Government (linguistics); Diversity (politics); Lifelong learning; Business; Economics; Political science; Economic growth; Marketing; Management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004607518,0.00006349081,0.0001862706,0.0001800524,0.00005735809,0.00002097112,0.00008231264,0.00005645233,0.00008686036],"category_scores_gemma":[0.00002983974,0.00006258705,0.00002920952,0.0007148188,0.00003385374,0.0001390072,0.00000559982,0.00004370853,0.000003804565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005852892,"about_ca_system_score_gemma":0.004193289,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.984404,"about_ca_topic_score_gemma":0.9570072,"domain_scores_codex":[0.9989775,0.000183717,0.0002675095,0.0001306369,0.0002996608,0.000140958],"domain_scores_gemma":[0.9994525,0.00005453912,0.00006303445,0.0001277667,0.0001496066,0.0001525065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007795916,0.00003416187,0.9153504,0.0000493434,0.00005268151,4.210156e-7,0.02122327,0.0002767795,0.00001565897,0.05757208,0.003572064,0.00184534],"study_design_scores_gemma":[0.0002998411,0.00001215724,0.8291592,0.0000519858,0.0001164078,4.767456e-7,0.06509242,0.0001966814,0.00002951751,0.0001275891,0.1047441,0.0001696633],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9730315,0.0002872315,0.00002371229,0.00101021,0.0007085054,0.0001533076,0.00001018884,0.0000116055,0.02476376],"genre_scores_gemma":[0.9970635,0.000007324853,0.00002549053,0.00007539969,0.0003272286,0.00001118995,0.00001099173,0.000004827772,0.002474102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.101172,"threshold_uncertainty_score":0.7438715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06522031549594048,"score_gpt":0.3651405290214332,"score_spread":0.2999202135254927,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}